Paul Yeh's Projects
Full assignment solutions for Algorithmic Toolbox coursera on Coursera.org
Algorithms on Graphs course of Data Structures and Algorithms Specialization on Coursera.org
Starting files for the Udacity CarND Behavioral Cloning Project
Implement Traffic light classification/detection and Waypoint following with ROS
Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project
Lane Finding Project for Self-Driving Car ND
Create a path planner that is able to navigate a car safely around a virtual highway
Classify Traffic Signs.
Full assignment solutions for Data Structures course on Coursera.org
Assignments for deeplearning.ai course on Coursera
Extract useful scene information from semantic segmentation from neural networks to allow self-driving cars to safely and reliably traverse their environment
Implement an MPC approach to coordinate automated vehicles with fixed priorities
Noisy GPS signal filtering algorithm with Kalman Filter
Implementing Lane Keeping Assist (LKA) on CARLA simulator
Fusing Lidar and Radar data with Extended Kalman Filter (EKF)
Assignments for Machine Learning course on Coursera from Stanford University
A quasi Hybrid A* method is introduced for motion planning of autonomous driving car, based on MPC and Bezier spline
Implement Motion Planning for autonomous car on CARLA simulator
Implement an MPC approach to coordinate multiple automated vehicles with fixed priorities at an unsignalized intersection
Config files for my GitHub profile.
Implement Error-State Extended Kalman Filter on fusing data from IMU, Lidar and GNSS.
Use Lidar point cloud and mono camera images to calculate Time To Collision(TTC)
With C++ PCL, implement 3D RANSAC, 3D KD-Tree and Euclidean clustering on Lidar point cloud
With Radar data, use Fast Fourier Transform(FFT) and 2D CA-CFAR to derive range and velocity of the objects
Implement Unscented Kalman Filter(UKF) to fuse data from Lidar and Radar